ad-domain
ad-domain is a Decision records & design docs skill for AI agents, published by alexandremendoncaalvaro in the CorridorKey-Runtime repository on GitHub. Skillspace rates ad-domain D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Lazily create or update `CONTEXT.md` (Layer 2 — ubiquitous language per Evans 2003) at the repo root, or `CONTEXT-MAP.md` plus per-context `CONTEXT.md` for multi-context repos. Captures canonical project-specific nouns, the aliases to avoid, the relationships between them, and resolved ambiguities. Triggers on "domain term", "ubiquitous language", "glossary", "what should we call", "naming drift", "canonical noun", "_Avoid_", "/ad-domain", or whenever a grilling/spec/architecture session resolves a vocabulary question. Lazy by design — file only exists when there is something to write.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 749
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 99 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Also published in 1 other repo
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